Huadong Wu

864 citations
15 papers · 602 indexed · h-index 11
Topics
Energy Efficient Wireless Sensor Networks (5 papers)Context-Aware Activity Recognition Systems (5 papers)Robotics and Automated Systems (3 papers)

In The Last Decade

Huadong Wu

15 papers receiving 543 citations

Peers

Huadong Wu
Comparison fields: 5 of 91
  • Computer Vision and Pattern Recognition 202
  • Artificial Intelligence 170
  • Signal Processing 150
  • Computer Networks and Communications 149
  • Biomedical Engineering 86
Replace Ahmad Alnafessah with:
Ahmad Alnafessah United Kingdom
Suheer Al-Hadhrami Saudi Arabia
Danilo Pau Italy
Chandreyee Chowdhury India
Rafael Berkvens Belgium
Longning Qi China
Zainul Charbiwala United States
Qingchang Zhu Singapore
Suruz Miah United States
Pavel Davidson Finland
Huadong Wu relative to Ahmad Alnafessah United Kingdom Ahmad Alnafessah's profile →
Citations per field
00.5×1.7×
Ahmad Alnafessah · 1×
Citations per year

Countries citing papers authored by Huadong Wu

Since Specialization
Citations

This map shows the geographic impact of Huadong Wu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Huadong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Huadong Wu more than expected).

Fields of papers citing papers by Huadong Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Huadong Wu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Huadong Wu. The network helps show where Huadong Wu may publish in the future.

Co-authorship network of co-authors of Huadong Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Huadong Wu. A scholar is included among the top collaborators of Huadong Wu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Huadong Wu. Huadong Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 2
2 10
3 2
4
Sensor data fusion for context-aware computing using dempster-shafer theory
61
5 27
6 7
7 10
8 79
9 28
10 4
11 109
12 17
13
Sensor Fusion Using Dempster-Shafer Theory
120
14 53
15 73

About Huadong Wu

Huadong Wu is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Media Technology, having authored 15 papers that have together received 602 indexed citations. Recurring topics across this work include Energy Efficient Wireless Sensor Networks (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Robotics and Automated Systems (3 papers). The work is most often cited by research in Signal Processing (150 citations), Computer Vision and Pattern Recognition (202 citations) and Computer Networks and Communications (149 citations). Huadong Wu has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Mel Siegel, Jie Yang, Rainer Stiefelhagen, P.K. Khosla, P.K. Khosla, Jiaming Liu, Hui Cheng, Kai Yang, Shiyan Wang and Tian Zhou. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Journal of Electronic Imaging and Figshare.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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